The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-31"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "83424446 (up from 82708280 yesterday: 0.87 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1818116 (up from 1805008 yesterday: 0.73 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 12949421

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.18



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 19968087 227315 1.15 4269350 345737 3419 1.00 1.73
India 10266674 0 0.00 469930 148738 0 0.00 1.45
Brazil 7675973 56773 0.75 894174 194949 1074 0.55 2.54
Russia 3127347 27329 0.88 581234 56271 579 1.04 1.80
France 2677666 20042 0.75 284076 64759 251 0.39 2.42
United Kingdom 2496231 56029 2.30 703620 73622 965 1.33 2.95
Turkey 2208652 14380 0.66 460085 20881 239 1.16 0.95
Italy 2107166 23477 1.13 320019 74159 555 0.75 3.52
Spain 1928265 18047 0.94 208209 50837 148 0.29 2.64
Germany 1760520 19367 1.11 473428 33791 561 1.69 1.92
Colombia 1642775 16314 1.00 242864 43213 304 0.71 2.63
Argentina 1625514 11586 0.72 143298 43245 82 0.19 2.66
Mexico 1426094 12159 0.86 208968 125807 910 0.73 8.82
Poland 1294878 13464 1.05 192782 28554 535 1.91 2.21
Iran 1225142 6389 0.52 142119 55223 128 0.23 4.51
Ukraine 1086997 10117 0.94 205270 19281 223 1.17 1.77
South Africa 1057161 18000 1.73 220397 28469 436 1.56 2.69
Peru 1015137 4641 0.46 36026 37680 106 0.28 3.71
Netherlands 808382 9790 1.23 212909 11525 108 0.95 1.43
Indonesia 743198 8074 1.10 144265 22138 194 0.88 2.98
Czechia 718661 17039 2.43 155328 11580 151 1.32 1.61
Belgium 646496 2254 0.35 46099 19528 87 0.45 3.02
Romania 632263 4322 0.69 93156 15767 171 1.10 2.49
Chile 608973 2023 0.33 42533 16608 109 0.66 2.73
Iraq 595291 849 0.14 24038 12813 5 0.04 2.15
Canada 584409 7143 1.24 138581 15632 134 0.86 2.67
Bangladesh 513510 1014 0.20 27545 7559 28 0.37 1.47
Pakistan 482178 2463 0.51 49851 10176 71 0.70 2.11
Philippines 474064 1532 0.32 28524 9244 14 0.15 1.95
Switzerland 452296 4391 0.98 83601 7645 51 0.67 1.69
Morocco 439193 1861 0.43 47664 7388 33 0.45 1.68
Sweden 437379 0 0.00 124651 8727 0 0.00 2.00
Israel 423262 6678 1.60 70865 3325 18 0.54 0.79
Portugal 413678 7627 1.88 78471 6906 76 1.11 1.67
Saudi Arabia 362741 140 0.04 3326 6223 9 0.14 1.72
Austria 360815 2913 0.81 47127 6222 73 1.19 1.72
Serbia 337923 2932 0.88 88699 3211 48 1.52 0.95
Hungary 322514 2971 0.93 57511 9537 108 1.15 2.96
Jordan 294494 1427 0.49 41373 3834 19 0.50 1.30
Nepal 260593 534 0.21 14943 1856 9 0.49 0.71
Panama 246790 4046 1.67 61366 4022 47 1.18 1.63
Japan 235811 4540 1.96 63405 3292 49 1.51 1.40
Georgia 227420 1527 0.68 48467 2505 24 0.97 1.10
Azerbaijan 218700 1064 0.49 55926 2641 32 1.23 1.21
Ecuador 212512 1000 0.47 12133 14034 11 0.08 6.60
Croatia 210837 2391 1.15 46845 3920 60 1.55 1.86
United Arab Emirates 207822 1730 0.84 26417 669 4 0.60 0.32
Bulgaria 202266 1046 0.52 27698 7576 61 0.81 3.75
Kazakhstan 201196 753 0.38 17566 2761 0 0.00 1.37
Belarus 194284 1923 1.00 39892 1424 10 0.71 0.73
Lebanon 181503 3507 1.97 39316 1468 12 0.82 0.81
Slovakia 179543 6315 3.65 54622 2138 73 3.54 1.19
Dominican Republic 170785 1206 0.71 19064 2414 5 0.21 1.41
Costa Rica 169321 1207 0.72 19506 2185 14 0.64 1.29
Denmark 164116 2254 1.39 63089 1298 42 3.34 0.79
Bolivia 160124 1752 1.11 13739 9165 16 0.17 5.72
Armenia 159409 531 0.33 14169 2823 16 0.57 1.77
Kuwait 150584 286 0.19 5089 934 1 0.11 0.62
Moldova 144818 977 0.68 22133 2985 25 0.84 2.06
Qatar 143834 213 0.15 3318 245 0 0.00 0.17
Lithuania 140579 2360 1.71 56696 1458 36 2.53 1.04
Tunisia 139140 1924 1.40 31326 4676 56 1.21 3.36
Greece 138850 932 0.68 17597 4838 50 1.04 3.48
Egypt 138062 1418 1.04 17915 7631 55 0.73 5.53
Guatemala 138012 846 0.62 10226 4813 10 0.21 3.49
West Bank and Gaza 138004 1268 0.93 33125 1400 29 2.12 1.01
Oman 128867 148 0.11 3198 1499 2 0.13 1.16
Burma 124630 890 0.72 20143 2682 18 0.68 2.15
Ethiopia 124264 408 0.33 8904 1923 5 0.26 1.55
Slovenia 122152 2412 2.01 30230 2697 32 1.20 2.21
Honduras 121827 915 0.76 8620 3130 19 0.61 2.57
Venezuela 113558 437 0.39 7278 1028 3 0.29 0.91
Malaysia 113010 2525 2.29 34511 471 8 1.73 0.42
Bosnia and Herzegovina 110985 0 0.00 12382 4050 0 0.00 3.65
Paraguay 107932 974 0.91 16974 2262 20 0.89 2.10
Libya 100277 342 0.34 11094 1478 19 1.30 1.47

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 2291007 29972 1.33 808456 25897 563 2.22 1.13 57982.24 655.42 1 in 17
Texas 1766307 16057 0.92 322954 27944 344 1.25 1.58 60915.79 963.72 1 in 16
Florida 1323315 17192 1.32 228618 21673 127 0.59 1.64 61613.33 1009.09 1 in 16
New York 978783 15393 1.60 226679 37983 143 0.38 3.88 50313.82 1952.50 1 in 20
Illinois 963389 8009 0.84 139858 17978 167 0.94 1.87 76026.09 1418.74 1 in 13
Ohio 700380 9632 1.39 168530 8962 107 1.21 1.28 59917.36 766.70 1 in 17
Georgia 666452 11709 1.79 141050 10934 88 0.81 1.64 62769.66 1029.82 1 in 16
Pennsylvania 645390 9329 1.47 182436 15947 282 1.80 2.47 50413.26 1245.67 1 in 20
Tennessee 586802 5993 1.03 157829 6907 97 1.42 1.18 85875.47 1010.80 1 in 12
North Carolina 539545 6715 1.26 123462 6748 19 0.28 1.25 51443.62 643.40 1 in 19
Michigan 528621 0 0.00 73901 13018 0 0.00 2.46 52931.67 1303.51 1 in 19
Wisconsin 520438 4212 0.82 63549 5242 50 0.96 1.01 89384.95 900.31 1 in 11
Arizona 520207 7718 1.51 132678 8864 146 1.67 1.70 68314.42 1164.03 1 in 15
Indiana 511485 6468 1.28 106550 8263 103 1.26 1.62 75975.69 1227.38 1 in 13
New Jersey 477360 5096 1.08 90754 19042 90 0.47 3.99 53743.50 2143.84 1 in 19
Minnesota 415302 2195 0.53 48084 5382 61 1.15 1.30 73639.91 954.32 1 in 14
Missouri 403405 3904 0.98 60987 5694 30 0.53 1.41 65728.67 927.75 1 in 15
Massachusetts 375178 7260 1.97 100397 12423 85 0.69 3.31 53986.31 1787.61 1 in 19
Alabama 361226 4406 1.23 76304 4827 53 1.11 1.34 73671.71 984.46 1 in 14
Virginia 349584 5239 1.52 78541 5032 48 0.96 1.44 40956.38 589.54 1 in 24
Colorado 334097 3238 0.98 57102 4814 64 1.35 1.44 58015.68 835.95 1 in 17
Louisiana 315275 4046 1.30 53946 7488 40 0.54 2.38 67818.66 1610.74 1 in 15
South Carolina 307507 4032 1.33 65821 5296 47 0.90 1.72 59725.01 1028.61 1 in 17
Oklahoma 290936 3906 1.36 65483 2489 36 1.47 0.86 73524.93 629.02 1 in 14
Iowa 281712 1648 0.59 29159 3891 69 1.81 1.38 89288.67 1233.25 1 in 11
Maryland 276662 2973 1.09 50807 5895 47 0.80 2.13 45761.93 975.08 1 in 22
Utah 276612 4672 1.72 50666 1269 13 1.04 0.46 86280.61 395.83 1 in 12
Kentucky 265261 0 0.00 51812 2623 0 0.00 0.99 59373.41 587.11 1 in 17
Washington 246752 4422 1.82 44575 3461 41 1.20 1.40 32403.87 454.50 1 in 31
Kansas 225440 6 0.00 42595 2736 0 0.00 1.21 77382.66 939.14 1 in 13
Arkansas 225138 2708 1.22 46284 3676 39 1.07 1.63 74602.74 1218.10 1 in 13
Nevada 224731 2136 0.96 46204 3122 59 1.93 1.39 72960.91 1013.59 1 in 14
Mississippi 215811 2756 1.29 42856 4787 40 0.84 2.22 72513.51 1608.45 1 in 14
Connecticut 185708 2045 1.11 42729 5995 31 0.52 3.23 52087.81 1681.49 1 in 19
Nebraska 166798 1501 0.91 21024 1651 40 2.48 0.99 86226.90 853.49 1 in 12
New Mexico 142864 1678 1.19 28133 2477 41 1.68 1.73 68133.36 1181.31 1 in 15
Idaho 141077 1213 0.87 23049 1436 33 2.35 1.02 78723.15 801.31 1 in 13
Oregon 113909 1649 1.47 24071 1477 9 0.61 1.30 27007.14 350.19 1 in 37
South Dakota 99164 444 0.45 10437 1488 24 1.64 1.50 112092.91 1682.00 1 in 9
North Dakota 92495 292 0.32 5788 1292 10 0.78 1.40 121374.64 1695.40 1 in 8
Rhode Island 87949 0 0.00 18702 1777 0 0.00 2.02 83020.80 1677.43 1 in 12
West Virginia 85334 1109 1.32 25639 1338 20 1.52 1.57 47748.73 748.68 1 in 21
Montana 81555 255 0.31 10663 961 11 1.16 1.18 76306.77 899.16 1 in 13
Puerto Rico 76291 403 0.53 16833 1503 19 1.28 1.97 23888.01 470.61 1 in 42
Delaware 57456 860 1.52 14420 926 5 0.54 1.61 59004.03 950.95 1 in 17
Alaska 46986 503 1.08 7641 206 3 1.48 0.44 64228.45 281.60 1 in 16
Wyoming 44409 276 0.63 6186 438 33 8.15 0.99 76731.42 756.79 1 in 13
New Hampshire 44028 786 1.82 15755 759 18 2.43 1.72 32380.41 558.21 1 in 31
District of Columbia 28983 225 0.78 4885 786 6 0.77 2.71 41067.01 1113.71 1 in 24
Maine 24201 702 2.99 9340 347 13 3.89 1.43 18003.86 258.14 1 in 56
Hawaii 21745 175 0.81 2566 288 3 1.05 1.32 15358.03 203.41 1 in 65
Vermont 7412 136 1.87 1999 136 2 1.49 1.83 11878.41 217.95 1 in 84

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 32855482 2291007 6.97 6531150 808456 12.38 831527.0
2 Texas 13742979 1766307 12.85 2021168 322954 15.98 473963.2
3 Florida 15703599 1323315 8.43 2213135 228618 10.33 731157.1
4 New York 25285060 978783 3.87 3983614 226679 5.69 1299765.1
5 Illinois 13277443 963389 7.26 1795595 139858 7.79 1047792.8
6 Ohio 7752314 700380 9.03 1045600 168530 16.12 663208.8
7 Georgia 5349390 666452 12.46 727549 141050 19.39 503831.3
8 Pennsylvania 3905454 645390 16.53 454658 182436 40.13 305066.2
9 Tennessee 5644058 586802 10.40 802144 157829 19.68 825979.0
10 North Carolina 6944103 539545 7.77 1165645 123462 10.59 662094.5
11 Michigan 8113075 528621 6.52 886076 73901 8.34 812375.2
12 Wisconsin 5348488 520438 9.73 602832 63549 10.54 918600.0
13 Arizona 2834752 520207 18.35 397043 132678 33.42 372264.2
14 Indiana 5681710 511485 9.00 918817 106550 11.60 843958.0
15 New Jersey 7735775 477360 6.17 1198020 90754 7.58 870931.0
16 Minnesota 5351379 415302 7.76 759271 48084 6.33 948888.0
17 Missouri 3638238 403405 11.09 368556 60987 16.55 592795.2
18 Massachusetts 10944699 375178 3.43 1666280 100397 6.03 1574889.5
19 Alabama 1874000 361226 19.28 189638 76304 40.24 382200.5
20 Virginia 4255991 349584 8.21 655250 78541 11.99 498621.2
21 Colorado 4406667 334097 7.58 764149 57102 7.47 765214.3
22 Louisiana 4214182 315275 7.48 509317 53946 10.59 906510.8
23 South Carolina 3173021 307507 9.69 558785 65821 11.78 616274.5
24 Oklahoma 2668245 290936 10.90 370624 65483 17.67 674315.0
25 Iowa 1171219 281712 24.05 59279 29159 49.19 371218.1
26 Maryland 5708030 276662 4.85 852075 50807 5.96 944150.2
27 Utah 2245303 276612 12.32 268500 50666 18.87 700353.2
28 Kentucky 3148606 265261 8.42 308384 51812 16.80 704753.0
29 Washington 3805390 246752 6.48 579962 44575 7.69 499729.9
30 Kansas 1001232 225440 22.52 125180 42595 34.03 343674.6
31 Arkansas 2051488 225138 10.97 238490 46284 19.41 679790.2
32 Nevada 2081954 224731 10.79 294092 46204 15.71 675924.9
33 Mississippi 1343469 215811 16.06 144214 42856 29.72 451411.9
34 Connecticut 4320693 185708 4.30 680148 42729 6.28 1211878.0
35 Nebraska 1743719 166798 9.57 238426 21024 8.82 901422.6
36 New Mexico 1970212 142864 7.25 277536 28133 10.14 939615.0
37 Idaho 543268 141077 25.97 47530 23049 48.49 303152.0
38 Oregon 2652670 113909 4.29 436143 24071 5.52 628932.1
39 South Dakota 372640 99164 26.61 26440 10437 39.47 421224.5
40 North Dakota 1277930 92495 7.24 128924 5788 4.49 1676937.1
41 Rhode Island 1974498 87949 4.45 279696 18702 6.69 1863857.6
42 West Virginia 1514520 85334 5.63 239512 25639 10.70 847451.3
43 Montana 791589 81555 10.30 89064 10663 11.97 740648.7
45 Delaware 978204 57456 5.87 167866 14420 8.59 1004559.6
46 Alaska 1275750 46986 3.68 162390 7641 4.71 1743911.9
47 Wyoming 501784 44409 8.85 64724 6186 9.56 866999.9
48 New Hampshire 1032929 44028 4.26 144000 15755 10.94 759668.1
49 District of Columbia 897439 28983 3.23 139606 4885 3.50 1271612.1
50 Maine 1111413 24201 2.18 149853 9340 6.23 826813.8
51 Hawaii 812338 21745 2.68 90683 2566 2.83 573736.9
52 Vermont 697705 7412 1.06 96076 1999 2.08 1118136.7

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4859567 478903 3859 0.81 9.85 3437 489 54623 25123 5.25
Veneto 3300987 253875 4800 1.93 7.69 2698 361 91073 6539 2.58
Piemonte 1682529 197828 1367 0.70 11.76 2895 190 28257 7922 4.00
Campania 2035364 189673 1554 0.83 9.32 1325 113 77255 2844 1.50
Emilia-Romagna 2572140 171512 2116 1.25 6.67 2629 233 57346 7738 4.51
Lazio 2706603 163051 1767 1.10 6.02 2789 303 75173 3769 2.31
Toscana 1883593 120328 632 0.53 6.39 838 150 9678 3673 3.05
Sicilia 1219132 93644 1299 1.41 7.68 1069 171 33868 2412 2.58
Puglia 1044314 90964 1661 1.86 8.71 1490 129 53002 2472 2.72
Liguria 711036 60469 472 0.79 8.50 694 65 5620 2891 4.78
Friuli Venezia Giulia 933082 50027 877 1.78 5.36 645 62 11798 1642 3.28
Marche 532497 41624 703 1.72 7.82 470 62 11178 1571 3.77
Abruzzo 516422 35314 456 1.31 6.84 430 35 11073 1213 3.43
Sardegna 482520 31113 368 1.20 6.45 486 46 16453 747 2.40
P.A. Bolzano 361459 29494 260 0.89 8.16 159 26 10669 739 2.51
Umbria 503641 28960 300 1.05 5.75 259 44 3777 624 2.15
Calabria 440666 23920 402 1.71 5.43 243 18 8817 472 1.97
P.A. Trento 450593 21840 320 1.49 4.85 380 42 1862 942 4.31
Basilicata 184291 10826 147 1.38 5.87 89 4 6051 256 2.36
Valle d’Aosta 62687 7273 29 0.40 11.60 75 2 411 379 5.21
Molise 115484 6528 88 1.37 5.65 51 10 1912 191 2.93

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 202641 2819 1.41 8226 61 0.75 4.06 23734.92 963.49 1 in 42
Ontario 186355 3251 1.78 4556 57 1.27 2.44 12667.02 309.68 1 in 79
Alberta 100428 0 0.00 1046 0 0.00 1.04 22756.56 237.02 1 in 44
British Columbia 51990 690 1.35 901 8 0.90 1.73 10172.34 176.29 1 in 98
Manitoba 24700 187 0.76 667 6 0.91 2.70 17930.81 484.20 1 in 56
Saskatchewan 15350 190 1.25 155 1 0.65 1.01 12990.13 131.17 1 in 77
Nova Scotia 1486 3 0.20 65 0 0.00 4.37 1520.27 66.50 1 in 658
New Brunswick 599 3 0.50 9 1 12.50 1.50 767.96 11.54 1 in 1302
Newfoundland and Labrador 390 0 0.00 4 0 0.00 1.03 748.04 7.67 1 in 1337
Nunavut 266 0 0.00 1 0 0.00 0.38 NA NA 1 in NA
Prince Edward Island 94 0 0.00 0 0 NaN 0.00 594.34 0.00 1 in 1683
Yukon 60 0 0.00 1 0 0.00 1.67 1460.64 24.34 1 in 685
Northwest Territories 24 0 0.00 0 0 NaN 0.00 534.47 0.00 1 in 1871
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 61027.16 1056.65 1 in 16
India 7667.42 111.08 1 in 130
Brazil 36674.50 931.43 1 in 27
Russia 21642.54 389.42 1 in 46
France 39971.13 966.70 1 in 25
United Kingdom 37571.21 1108.10 1 in 27
Turkey 27331.42 258.40 1 in 37
Italy 34840.71 1226.17 1 in 29
Spain 41325.87 1089.52 1 in 24
Germany 21264.89 408.15 1 in 47
Colombia 33478.19 880.64 1 in 30
Argentina 36718.18 976.85 1 in 27
Mexico 11037.88 973.74 1 in 91
Poland 34093.68 751.82 1 in 29
Iran 15095.39 680.42 1 in 66
Ukraine NA NA 1 in NA
South Africa 18638.24 501.92 1 in 54
Peru 31555.39 1171.28 1 in 32
Netherlands 47053.67 670.84 1 in 21
Indonesia 2815.14 83.86 1 in 355

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 770602 10345 1.34
Cook Illinois 393652 8285 2.10
Maricopa Arizona 318827 5110 1.60
Miami-Dade Florida 298873 4188 1.40
Harris Texas 237727 3402 1.43
San Bernardino California 194377 1445 0.74
Dallas Texas 193318 2007 1.04
Riverside California 180553 1985 1.10
Clark Nevada 170032 2379 1.40
Orange California 157183 1875 1.19
San Diego California 155595 1534 0.99
Tarrant Texas 146888 1426 0.97
Broward Florida 137610 1847 1.34
Queens New York 125401 7558 6.03
Kings New York 123847 7731 6.24
Bexar Texas 115685 1726 1.49
Salt Lake Utah 107386 553 0.51
El Paso Texas 98540 1666 1.69
Suffolk New York 96057 2299 2.39
Philadelphia Pennsylvania 93885 2450 2.61
Milwaukee Wisconsin 91624 1002 1.09
Nassau New York 87904 2390 2.72
Hennepin Minnesota 86273 1382 1.60
Bronx New York 85385 5137 6.02
Wayne Michigan 84941 3624 4.27
Franklin Ohio 84050 698 0.83
Palm Beach Florida 82890 1895 2.29
Hillsborough Florida 77118 1071 1.39
Orange Florida 76458 749 0.98
Middlesex Massachusetts 75615 2729 3.61
Marion Indiana 70610 1144 1.62
Cuyahoga Ohio 70137 897 1.28
Santa Clara California 69879 709 1.01
Westchester New York 69661 1664 2.39
Pima Arizona 69522 1064 1.53
St. Louis Missouri 69480 1391 2.00
Kern California 68316 510 0.75
Utah Utah 67250 215 0.32
Shelby Tennessee 66562 903 1.36
Sacramento California 65541 844 1.29
Fresno California 65400 646 0.99
King Washington 62580 1050 1.68
Mecklenburg North Carolina 62454 554 0.89
DuPage Illinois 61805 1030 1.67
Davidson Tennessee 61497 570 0.93
Duval Florida 61321 725 1.18
Oakland Michigan 61195 1636 2.67
New York New York 60942 3338 5.48
Providence Rhode Island 58946 1348 2.29
Essex Massachusetts 58429 1698 2.91
Oklahoma Oklahoma 57993 441 0.76
Gwinnett Georgia 57492 601 1.05
Fulton Georgia 56781 790 1.39
Fairfield Connecticut 56288 1720 3.06
Prince George’s Maryland 54581 1085 1.99
Suffolk Massachusetts 54556 1374 2.52
Allegheny Pennsylvania 53809 1009 1.88
Douglas Nebraska 53270 515 0.97
Jefferson Alabama 52339 697 1.33
Will Illinois 52293 780 1.49
Hamilton Ohio 51821 417 0.80
Hidalgo Texas 51662 2201 4.26
Alameda California 51590 657 1.27
Jefferson Kentucky 50804 530 1.04
Travis Texas 50595 549 1.09
Macomb Michigan 49473 1601 3.24
Collin Texas 48423 370 0.76
Lake Illinois 48300 818 1.69
Tulsa Oklahoma 48124 399 0.83
Denver Colorado 47645 667 1.40
New Haven Connecticut 47375 1529 3.23
Essex New Jersey 47192 2391 5.07
Bergen New Jersey 47099 2318 4.92
Hartford Connecticut 46680 1852 3.97
Montgomery Maryland 46200 1124 2.43
San Joaquin California 45019 628 1.39
Pinellas Florida 44975 1049 2.33
Middlesex New Jersey 44793 1677 3.74
Cobb Georgia 44195 575 1.30
Wake North Carolina 44059 344 0.78
Fairfax Virginia 43977 679 1.54
Hudson New Jersey 43936 1699 3.87
Kent Michigan 43274 543 1.25
Worcester Massachusetts 42595 1523 3.58
Lubbock Texas 41878 561 1.34
Kane Illinois 41511 604 1.46
Polk Iowa 41498 410 0.99
Erie New York 41252 1194 2.89
El Paso Colorado 41222 555 1.35
Bernalillo New Mexico 40808 569 1.39
Lee Florida 40635 672 1.65
Adams Colorado 39917 518 1.30
Passaic New Jersey 39876 1458 3.66
Lake Indiana 39833 606 1.52
Contra Costa California 39736 331 0.83
Sedgwick Kansas 39423 376 0.95
Ventura California 39259 260 0.66
Denton Texas 39182 348 0.89
Johnson Kansas 38865 452 1.16
Baltimore Maryland 38657 933 2.41

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc